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Consumer vs Server-Grade Hardware and why you can't do Business-Grade work with the former
In any market or industry, quality work at scale requires purpose-built high-performance tools. In a previous article (The Eight Challenges You'll Face With On-Premise Artificial Intelligence [https://amalgam.ai/posts/the-eight-challenges-youll-face-with-on-premise-artificial-intelligence/] ), we promised to cover this topic more in-depth in a separate post. Well, we like to keep our promises, so here we are. It turns out that 3 of the Challenges we listed (Servers, Networking, and Storage) ar
Adriano Marques
June 02, 2021
What Kind of AI Infrastructure is Best for my Business?
In this week's Exponential Chats, some of the team members responsible for Amalgam's development will have a chat about the various infrastructure alternatives available when it comes to training and deployment of Artificial Intelligence models. Between Cloud, Colocation, and On-Premise which one would you say is the best infrastructure for your AI needs? Come join us and participate by asking questions or giving your opinion in the live chat. - Adriano Marques is the founder and CEO of Exponen
Adriano Marques
September 30, 2020
The Eight Challenges You'll Face With On-Premise Artificial Intelligence
As glamorous as it is to have your own Artificial Intelligence Optimized On-Premise Data Center, it doesn't come easy. It is absolutelly true that if done right it boasts much better performance and much lower costs than resorting to the cloud or even using co-location to perform your processing workload when creating AI driven solutions. However, most people are not aware of what really makes an AI Optimized Data Center and end up building an expensive half-baked solution that can't perform o
Adriano Marques
September 18, 2020
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